A graph clustering method for community detection in complex networks

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• 作者：HongFang Zhou ; ^{zhouhf@xaut.edu.cn} ; Jin Li ^{286374431@qq.com} ; JunHuai Li ^{lijunhuai@xaut.edu.cn} ; FaCun Zhang ^{zfc@xaut.edu.cn} ; YingAn Cui ^{1503404966@qq.com}
• 关键词：Complex networks ; Collaborative similarity ; Graph clustering ; Community detection
• 刊名：Physica A: Statistical Mechanics and its Applications
• 出版年：2017
• 出版时间：1 March 2017
• 年：2017
• 卷：469
• 期：Complete
• 页码：551-562
• 全文大小：1451 K
• 卷排序：469

文摘

Two concepts, Attracting Degree and Recommending Degree, are proposed. A novel similarity measure based on Attracting and Recommending Degrees is presented. A graph clustering algorithm for community detection in complex networks is given.